Databricks announced it is acquiring Tecton, a leading real-time enterprise feature platform, to accelerate the deployment of AI agents powered by fast, reliable data. The integration will combine Tecton’s high-performance data serving capabilities with Databricks’ Agent Bricks, enabling enterprises to build, deploy, and scale AI applications more efficiently.
Tecton has established itself as the go-to solution for enterprises needing mission-critical data to fuel use cases such as fraud detection, risk scoring, and personalized recommendations. Its platform streamlines the preparation, curation, and delivery of contextual data for AI, ensuring that models and agents operate with fresh, accurate, and reliable insights. Founded by the creators of Uber’s machine learning infrastructure, Tecton is trusted by Fortune 500 companies and startups to support production-grade AI at scale.
The company’s platform is engineered for speed and reliability, offering sub-10 millisecond latency, sub-100 millisecond freshness, and 99.99% uptime. Its point-in-time correctness guarantees ensure models train, test, and serve consistently, while its automation capabilities simplify the full data lifecycle—from experimentation to production deployment. This combination reduces engineering complexity and operating costs while improving decision-making accuracy.
Also Read: EdgeConneX and Lambda To Build AI Factory In Chicago With Industry-Leading High-Density Data Center Infrastructure
“Successfully deploying AI agents depends on giving them timely, reliable access to enterprise data so they can customize their actions to each specific use case,” Databricks emphasized. “With Tecton, we’ve eliminated one of the biggest barriers to bringing AI agents into production.”
The acquisition deepens an already strong partnership between the two firms. Databricks previously invested in Tecton and shares a significant roster of joint enterprise customers. With Tecton integrated directly into the Databricks Data Intelligence Platform, customers will gain seamless, automated access to real-time contextual data, reducing friction in building both machine learning and AI agent systems.
By merging Tecton’s real-time data capabilities with Agent Bricks, Databricks aims to set a new industry benchmark for powering AI-driven decision-making at scale.